【摘要】：森林火災(zāi)是當(dāng)今世界性的重大災(zāi)害之一,也是影響北方森林演替的主要因素,其成災(zāi)后往往會(huì)造成很大的經(jīng)濟(jì)損失,并對(duì)該地區(qū)的森林生態(tài)環(huán)境產(chǎn)生很大影響。基于2000-2013年8 d合成的MODIS EVI和land surface temperature(LST)時(shí)間序列數(shù)據(jù),綜合應(yīng)用表征植被生長(zhǎng)狀態(tài)的植被物候期特征指標(biāo)及全球擾動(dòng)指數(shù)(MGDI),提出了一種森林火燒跡地檢測(cè)方法,并在大興安嶺及其附近林區(qū)進(jìn)行了應(yīng)用驗(yàn)證。結(jié)果表明,所提研究方法可以有效地提取火燒跡地信息;與基于Landsat的森林?jǐn)_動(dòng)監(jiān)測(cè)結(jié)果相比,該方法對(duì)植被細(xì)微的異常變化更加敏感,所提著火點(diǎn)像元也更加集中,在時(shí)間尺度上也更加精確和可靠。
[Abstract]:Forest fire is one of the major disasters in the world, and it is also the main factor affecting the forest succession in the north. After the disaster, it often causes great economic losses and has a great impact on the forest ecological environment in this area. Based on the time series data of MODIS EVI and land surface temperature (LST) synthesized from 2000 to 2013, a forest burning site detection method was proposed by using the characteristic index of vegetation phenological period and the global disturbance index (MGDI), which characterized the growth state of vegetation. The application was verified in Daxinganling and its adjacent forest areas. The results show that the proposed research method can effectively extract the fire trace information. Compared with the monitoring results of forest disturbance based on Landsat, this method is more sensitive to the subtle abnormal changes of vegetation, the proposed fire point pixels are more concentrated, and the time scale is more accurate and reliable.
【作者單位】： 中國(guó)科學(xué)院地理科學(xué)與資源研究所資源與環(huán)境信息系統(tǒng)國(guó)家重點(diǎn)實(shí)驗(yàn)室;西南林業(yè)大學(xué)林學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41001279) 中國(guó)科學(xué)院戰(zhàn)略性先導(dǎo)科技專項(xiàng)(XDA05050102)~~
【分類號(hào)】：S762;TP79

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